Artificial-intelligence-driven customized manufacturing factory: key technologies, applications, and challenges

J Wan, X Li, HN Dai, A Kusiak… - Proceedings of the …, 2020 - ieeexplore.ieee.org
The traditional production paradigm of large batch production does not offer flexibility toward
satisfying the requirements of individual customers. A new generation of smart factories is …

A requirements driven digital twin framework: Specification and opportunities

J Moyne, Y Qamsane, EC Balta, I Kovalenko… - Ieee …, 2020 - ieeexplore.ieee.org
Among the tenets of Smart Manufacturing (SM) or Industry 4.0 (I4. 0), digital twin (DT), which
represents the capabilities of virtual representations of components and systems, has been …

Multi-agent based manufacturing: current trends and challenges

T Pulikottil, LA Estrada-Jimenez… - 2021 26th IEEE …, 2021 - ieeexplore.ieee.org
The advent of Industry 4.0 and the development of future industrial applications can be
achieved using Cyber-Physical Systems (CPS). This technological development invokes …

Dynamic production scheduling towards self-organizing mass personalization: A multi-agent dueling deep reinforcement learning approach

Z Qin, D Johnson, Y Lu - Journal of Manufacturing Systems, 2023 - Elsevier
Mass personalization is rapidly approaching. In response, manufacturing systems should be
capable of autonomously changing production plans, configurations and schedules under …

Dynamic distributed decision-making for resilient resource reallocation in disrupted manufacturing systems

M Bi, I Kovalenko, DM Tilbury… - International Journal of …, 2024 - Taylor & Francis
The COVID-19 pandemic brings many unexpected disruptions, such as frequently shifting
markets and limited human workforce, to manufacturers. To stay competitive, flexible and …

Potential for combining semantics and data analysis in the context of digital twins

B Vogel-Heuser, F Ocker, I Weiß… - … Transactions of the …, 2021 - royalsocietypublishing.org
Modern production systems can benefit greatly from integrated and up-to-date digital
representations. Their applications range from consistency checks during the design phase …

[HTML][HTML] Customization and flexible manufacturing capacity using a graphical method applied on a configurable multi-agent system

A Nilsson, F Danielsson, B Svensson - Robotics and Computer-Integrated …, 2023 - Elsevier
This article proposes a Plug & Produce and goal-oriented configurable multi-agent system
that admits adding and removing resources to balance the manufacturing capacity without …

Toward an automated learning control architecture for cyber-physical manufacturing systems

I Kovalenko, J Moyne, M Bi, EC Balta, W Ma… - IEEE …, 2022 - ieeexplore.ieee.org
Manufacturers are constantly looking to enhance the performance of their manufacturing
systems by improving their ability to address disruptions and disturbances, while reducing …

Cooperative product agents to improve manufacturing system flexibility: A model-based decision framework

I Kovalenko, EC Balta, DM Tilbury… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Due to the advancements in manufacturing system technology and the ever-increasing
demand for personalized products, there is a growing desire to improve the flexibility of …

An analytic hierarchy process augmented with expert rules for product driven control in cyber-physical manufacturing systems

A Attajer, S Darmoul, S Chaabane, Y Sallez… - Computers in Industry, 2022 - Elsevier
Abstract In Cyber-Physical Manufacturing Systems (CPMS), numerous distributed control
architectures were suggested to make different production entities active with respect to …